Replay in the human visual cortex during brief task pauses is linked to implicit learning of successor representations | PNAS
Humans can implicitly learn about multistep sequential relationships between events
in the environment from their statistical co-occurrence. Theore...
Delighted to share our work on replay and successor representations! We find replay during very short task pauses in human visual cortex that is linked to learning SRs & happens when learning is implicit. Study led by @lnnrtwttkhn.bsky.social
#compneuro #neuroskyence
www.pnas.org/doi/10.1073/...
22.08.2025 16:43 β π 135 π 51 π¬ 2 π 3
New paper with @mujianing.bsky.social & @prestonlab.bsky.social! We propose a simple model for human memory of narratives: we uniformly sample incoming information at a constant rate. This explains behavioral data much better than variable-rate sampling triggered by event segmentation or surprisal.
01.08.2025 16:45 β π 51 π 18 π¬ 1 π 3
The House committee for NSF/NASA/NOAA is meeting tomorrow (Tuesday) at noon ET. Now would be a good time to call anyone on this list & tell them to keep science funding at full 2025 levels. You can remind them that 75% of voters want tax-funded science and they're concerned about the impact of cuts.
14.07.2025 14:18 β π 36 π 24 π¬ 2 π 0
Sinclair Lab
The Learning & Behavior Change Lab at Rice University, directed by Dr. Sinclair
Excited to share my new lab website!
The Learning & Behavior Change Lab will launch at Rice in July 2026. Iβll be recruiting over the next year! @ricesocsci.bsky.social
www.sinclairlab-rice.com
14.07.2025 16:27 β π 81 π 20 π¬ 4 π 1
Pleased to say "Space, Time, and Memory", an academic book by Oxford University Press edited by the inimitable Lynn Nadel & Sara Aronowitz is now out.
I contributed a chapter, "Memory and Planning in Brains and Machines".
You can download the entire book for free:
library.oapen.org/bitstream/ha...
09.06.2025 20:48 β π 100 π 31 π¬ 7 π 0
I just signed the Bethesda Declaration and urge you to do the same today, so that we all stand with NIH researchers as Battacharya appears before the Senate Appropriations Committee tomorrow.
09.06.2025 15:00 β π 49 π 22 π¬ 0 π 0
βA big winβ: Dubious statistical results are becoming less common in psychology
Fewer papers are reporting findings on the border of statistical significance, a potential marker of dodgy research practices
Thrilled to see a news piece by @science.org on my recent paper. By analyzing p-values across >240k papers, the study suggests that the rate of statistically questionable findings in psychology has declined since the replication crisis began
www.science.org/content/arti...
06.06.2025 19:19 β π 122 π 35 π¬ 3 π 3
π§ π€ Computational Neuroscience summer school IMBIZO in Cape Town is open for applications again!
Β
π»π§¬ 3 weeks of intense coursework & projects with support from expert tutors and faculty
Β
πApply until July 1st!
πhttps://imbizo.africa/
08.05.2025 08:19 β π 36 π 29 π¬ 1 π 4
Congratulations, Q! Thoroughly deserved!
08.05.2025 13:57 β π 2 π 0 π¬ 1 π 0
Iβm thrilled to announce that I will start as a presidential assistant professor in Neuroscience at the City U of Hong Kong in Jan 2026!
I have RA, PhD, and postdoc positions available! Come work with me on neural network models + experiments on human memory!
RT appreciated!
(1/5)
08.05.2025 01:16 β π 130 π 39 π¬ 14 π 4
Yes, that would be my default setting. But as I used the AI-agent over time it could become graded. I purchased your book based on an ad that I saw on your website, and I really enjoyed the book. So perhaps I would instruct my AI-agent to relay certain ad information but not others?
05.05.2025 16:18 β π 2 π 0 π¬ 0 π 0
Presumably the AI-agent would still be able to view the ads and report back to their user if they came across something advertised which would be interesting/useful for their user.
I guess you are considering the case where the user explicitly tells the AI not to inform them of anything ad-related?
05.05.2025 15:54 β π 1 π 0 π¬ 1 π 0
FINALLY.
Some gumption from the President of Harvard today:
14.04.2025 17:47 β π 106 π 15 π¬ 2 π 0
All I can say is that the subjective effect size of the difference is very large and beyond what I would normally question. Once I start to question the validity of such judgments, I don't know how I could trust the majority of my waking self-report.
14.04.2025 14:44 β π 5 π 0 π¬ 1 π 0
I've (on occasions) had normal waking imagery that is vivid. That waking imagery is just like the vivid imagery that I (much more often) experience near sleep. I agree that I'm always comparing two past states here, which involves some kind of memory function.
14.04.2025 14:44 β π 4 π 0 π¬ 1 π 0
I am close to aphantasic (~2 out of 7 visual and auditory). However, there is an exception: I experience visual and auditory imagery when I am on the edge of sleep. So I know what imagery is, and I just don't experience it at other times. I don't know *how* I could be so wrong in subjective report.
14.04.2025 14:10 β π 5 π 0 π¬ 1 π 0
The time zone for the deadline is "Anywhere-On-Earth".
08.04.2025 10:19 β π 2 π 0 π¬ 2 π 0
cool!
07.04.2025 13:33 β π 16 π 3 π¬ 0 π 0
Symposium Talk - Cognitive Neuroscience Society
March 29-April 1Β |Β 2025 Submit a Symposium Submit a Poster Latest from Twitter
For anyone at #CNS2025 - check out @xrmasiso.bsky.social's talk tomorrow afternoon, showing that we can use fMRI to predict which (VR) locations will be good anchors for creating *future* memories!
www.cogneurosociety.org/talk/?id=5579
31.03.2025 14:00 β π 13 π 2 π¬ 0 π 0
Excited to share on my first post on Bluesky our new paper in NHB examine the innate and developing aspects of the wiring of the visual system. Congratulations to @emilykubota.bsky.social and the baby MRI team on this important work
21.03.2025 18:08 β π 84 π 28 π¬ 1 π 0
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Interested in how & what the brain computes. Professor in Neuroscience & Statistics UC Berkeley
She/her. Neuroscience PhD student @UC Berkeley. Formerly @UT Austin, Haverford College. https://mujn1461.github.io/jianingmu/
PhD student @yale.edu
Interested in the neural basis of attention & memory π§
Building AI products that help us grow.
Neural Mechanisms of Stress Vulnerability & Resilience π§ | Incoming Assistant Professor @Haifa University π¨βπ« | Postdoctoral Fellow @Yale University π
PhD Candidate, Psychological & Brain Sciences, Johns Hopkins University
concepts | language | plasticity | development | neuroscience
https://m-hauptman.github.io/
Interested in understanding the neural mechanisms underlying music cognition via neuroimaging and computational modeling
Neuroscience PhD from Princeton
Neuroscience Postdoc at MIT
https://scholar.google.co.uk/citations?user=RjmK2NgAAAAJ&hl=en
Founder & PI @aial.ie, @tcddublin.bsky.social
AI accountability, AI audits & evaluation, critical data studies. Cognitive scientist by training. Ethiopian in Ireland. She/her
Curious about memory, spontaneous thought, brains, and stories β¦Ώ Prof at York University, Glendon Campus β¦Ώ PI of the Memory & Meaning Lab (www.bellanalab.com)
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
Philosopher of mind and psychology, studying perception, consciousness, time and memory. BDP in Philosophy, and Psych and Brain Sciences @ Johns Hopkins. ianbphillips.com
Computational neuroscientist/biophysicist interested in memory, dynamics, and spikes.
https://rkp.science
postdoc at MIT (CoCoSci lab) & JHU (LIU lab) | cog dev, causal inference, and surprise | cat person | she/her
psychology phd student @ johns hopkins | cognitive development & explanation
Cognitive Neuroscientist at Adelaide University | Perception, Attention, Learning and Memory Lab (https://palm-lab.github.io) | Open Practices Editor at Attention, Perception, & Psychophysics | ReproducibiliTea | http://williamngiam.github.io
phd student in compneuro @ sprekeler lab
lisboa / πberlin :)
Assoc.Prof. in Complex Systems @sydneycompsci.bsky.social @sydney.edu.au. I use information theory to research information processing in complex systems in nature, complex networks, computational neuroscience, etc. Author of JIDT software. Views my own/RTs
Neuroscientist and connectome researcher. Human & chimpanzee brain connectivity / microstructure using diffusion MRI. Learning & brain plasticity @ MPI CBS, Leipzig